Senior Data Engineer, Helsingborg
Om tjänsten
Tjänsten finns hos Berlin Information Technology AB i Helsingborg. Yrket är klassat som Mjukvaruutvecklare, inom yrkesgruppen Mjukvaru- och systemutvecklare m.fl.. Tjänsten är en tillsvidareanställning, eventuellt med provanställning först. Anställningen gäller tills vidare. Tjänsten är på heltid. Arbetsgivaren söker tre personer till tjänsten. Lönen är fast, som månads-, vecko- eller timlön. Sista ansökningsdag är den 15 oktober.
Just nu finns sex lediga jobb som Mjukvaru- och systemutvecklare m.fl. i Helsingborg på Platsannonser.se.
Beskrivning
The main tasks this person will support with are:
Integrate into an agile scrum team and apply agile ways of working in relation to software development, including rapid prototyping and outcome-based evaluation.
Work with and contribute to a DevOps setup (continuous integration, etc.) for test-driven development on Google Cloud Platform.
Write demanding SQL queries that Extract, Transform and Load data from storage to an appropriate format, using joins, nesting and similar operations as an integral component of data processing pipelines to facilitate reporting and analytics.
Produce all required design specifications and drive the implementation of appropriate data models, schemas and their associated processing and transformation pipelines, in order to satisfy changing business requirements while ensuring continuously stable running operations.
Set up monitoring for data quality. Implement data validation checks and data quality dashboards, in order to ensure a high degree of trust in the data residing in the systems, as well as in the decisions supported by insights extracted from it.
Desired knowledge, competence, experience, skills etc.:
- Broad knowledge of SQL for data processing and analysis
- Broad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms
- Good knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Beam, Kafka, or equivalent)
- Good knowledge of digital product development principles and the importance of rapid validated learning cycles to optimise performance long term
- Good knowledge of collaborative software engineering practices (Agile, DevOps), in which solutions evolve through the effort of self-organising cross-functional teams.
Three most important things:
1. Broad knowledge of SQL for data processing and analysis
2. Broad knowledge of programming languages (e.g. Java, Go, Python, or Scala), including concepts from functional and object-oriented programming paradigms
3. Good knowledge of new and emerging tools for extracting, ingesting, and processing of large datasets (Apache Spark, Apache Beam, Kafka, or equivalent)